Giuseppe Di Fatta

Alzheimer’s disease is a chronic neurodegenerative disease which is largely responsible for dementia in around 6% of the population aged 65 and above. The growing availability of human brain data generated by imaging techniques, such as Magnetic Resonance Imaging (MRI), have resulted in a growing interest in data-driven approaches for the diagnosis of neurological disorders and for the identification of their causes. The knowledge discovery process typically involves complex data workflows that combine pre-processing techniques, statistical methods, machine learning and data mining algorithms, post-processing and visualisation techniques. This talk presents some efforts in this direction. The promising results, as usual, have exposed many issues and new challenges for the data mining/data science community.

Organised by BCS SGAI The Specialist Group on Artificial Intelligence http://www.bcs-sgai.org